Tomkolele — CS2 Stats

76561198249369384[U:1:289103656]

448Tracked matches57%Win rate2020Tracked since

1,386Hours in CS

CSDB Rating4.8 Developing

Premier CS Rating19,891Purple band · top ~8.9% of ranked players (population est.)

CSDB Leaderboard#9076 of 20361 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim55

Positioning40

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateWLLWWLLWWL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Aim5.5

Aggression3.3

Utility5.3

Positioning4.0

Opening Duels0.2

Clutch1.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 80% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 40% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.5

Positioning4.0

Utility5.3

Mechanics4.6

Opening Duels1.3

Win Impact7.2

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time585ms−42ms

first ⅓ avg 626ms → last ⅓ avg 585ms

Headshot accuracy14.1%+0.5%

first ⅓ avg 13.6% → last ⅓ avg 14.1%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.13Best rating — inferno 13–4

13–0Biggest win — anubis

7Longest win streak

4–13In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 78% over 9infernoWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	13–12	52%	0.01
mirage	B	18	9–9	50%	-0.01
nuke	A	14	8–6	57%	0.01
ancient	S	10	7–3	70%	-0.01
inferno	C	10	4–6	40%	0.00
anubis	C	9	4–5	44%	-0.02
cache	S	9	7–2	78%	0.02
overpass	—	4	3–1	75%	-0.01
vertigo	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,671Lifetime kills

1.03K/D

3,272Matches

44.4%Match win rate

36.3%Headshot %

15.9%Shot accuracy · Top 25% of tracked players

8,324MVPs

1,386Hours (in match)

2,104Bombs planted

729Bombs defused

Most-used weapons

AK-4724,507

M4A4 / M4A1-S12,686

AWP5,271

P2000 / USP-S3,332

Glock-182,574

Desert Eagle2,375

P902,294

Tec-91,531

P2501,480

Galil AR1,431

Lifetime map wins

4,475dust2

2,239cbble

2,061inferno

1,766train

1,621nuke

550vertigo

40office

32aztec

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

102Matches

51%Win rate

1.26Avg K/D

78.6ADR

38%Headshot %

Clutches & streaks

25%1v1 clutch win

24%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	45%	0.99	13.0
Dust2	8	38%	1.03	17.0
Anubis	7	43%	1.31	14.9
Inferno	3	0%	0.77	13.7
Cache	3	67%	1.43	26.3
Ancient	2	100%	0.88	12.0
Vertigo	1	100%	0.70	7.0
Nuke	1	0%	1.67	25.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.5%Headshot accuracy

32.9%Accuracy (enemy spotted)

38.3%Spray accuracy

70.7%Counter-strafing

10.5°Preaim

581msReaction time

21.4%T opening success

40.3%CT opening success

0.71Enemies flashed / flash

5.6%Flash assists

12.17HE damage / grenade

2.52Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4723% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.5219 — below the 4 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 21.3556% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–9	-0.05	15%	26 Aug →
dust2	11–13	-0.04	15%	24 Aug →
inferno	13–16	0.00	13%	24 Aug →
dust2	13–9	-0.01	9%	24 Aug →
dust2	13–8	0.05	15%	24 Aug →
nuke	9–13	0.05	10%	24 Aug →
anubis	5–13	-0.05	11%	18 Aug →
vertigo	13–4	-0.03	32%	18 Aug →
ancient	13–10	0.00	17%	18 Aug →
mirage	9–13	-0.02	14%	16 Aug →
anubis	13–4	-0.01	10%	16 Aug →
dust2	3–13	-0.04	19%	10 Aug →
ancient	13–3	-0.03	10%	10 Aug →
mirage	13–7	-0.05	11%	10 Aug →
anubis	13–8	0.00	13%	10 Aug →
inferno	7–13	-0.05	16%	6 Aug →
dust2	11–13	-0.01	18%	6 Aug →
cache	13–2	0.07	11%	27 Jul →
nuke	13–4	-0.03	4%	27 Jul →
ancient	16–14	0.02	9%	25 Jul →
anubis	13–0	-0.08	7%	21 Jul →
nuke	13–11	0.04	20%	15 Jul →
dust2	6–13	-0.04	16%	15 Jul →
mirage	10–13	-0.03	16%	15 Jul →
ancient	5–13	-0.03	10%	13 Jul →
dust2	13–4	0.13	16%	13 Jul →
cache	10–13	0.01	21%	13 Jul →
nuke	13–7	0.05	30%	13 Jul →
cache	11–13	-0.03	10%	12 Jul →
dust2	13–7	0.05	13%	11 Jul →
dust2	11–13	-0.01	8%	11 Jul →
cache	13–2	-0.02	7%	11 Jul →
nuke	7–13	-0.06	20%	11 Jul →
anubis	13–6	-0.01	10%	11 Jul →
mirage	4–13	-0.10	8%	11 Jul →
inferno	10–13	-0.04	14%	10 Jul →
cache	13–9	0.06	11%	10 Jul →
dust2	11–13	-0.01	13%	10 Jul →
mirage	3–13	-0.03	13%	9 Jul →
dust2	13–6	0.03	28%	9 Jul →
mirage	13–7	-0.01	14%	9 Jul →
cache	13–2	0.10	15%	9 Jul →
cache	13–9	-0.03	9%	8 Jul →
cache	13–5	-0.01	19%	7 Jul →
cache	13–10	0.04	8%	7 Jul →
dust2	13–7	0.06	17%	6 Jul →
anubis	14–16	0.01	5%	6 Jul →
inferno	13–8	-0.01	12%	6 Jul →
nuke	15–15	-0.01	8%	4 Jul →
dust2	13–4	0.02	17%	4 Jul →
anubis	9–13	-0.00	7%	4 Jul →
overpass	13–8	0.04	6%	3 Jul →
inferno	8–13	-0.00	18%	3 Jul →
nuke	8–13	-0.00	12%	3 Jul →
ancient	13–8	-0.04	20%	3 Jul →
mirage	13–10	-0.02	3%	3 Jul →
dust2	9–13	0.00	6%	3 Jul →
mirage	13–9	0.01	3%	3 Jul →
dust2	9–13	0.02	10%	2 Jul →
mirage	13–11	0.01	19%	2 Jul →
mirage	11–13	-0.03	16%	2 Jul →
dust2	13–3	-0.00	14%	2 Jul →
mirage	13–4	-0.03	14%	2 Jul →
nuke	13–7	0.05	11%	2 Jul →
dust2	13–7	0.03	16%	1 Jul →
inferno	13–4	0.13	18%	1 Jul →
nuke	13–6	0.09	19%	1 Jul →
inferno	13–5	0.04	16%	1 Jul →
ancient	15–15	-0.01	10%	1 Jul →
mirage	13–10	-0.01	8%	29 Jun →
dust2	6–13	0.04	22%	29 Jun →
nuke	11–13	0.01	11%	29 Jun →
mirage	11–13	0.02	19%	26 Jun →
mirage	13–8	-0.01	10%	26 Jun →
mirage	9–13	0.03	15%	22 Jun →
dust2	13–4	0.08	15%	22 Jun →
dust2	13–6	-0.05	15%	22 Jun →
mirage	9–13	0.06	10%	21 Jun →
inferno	12–16	-0.08	14%	21 Jun →
dust2	13–10	0.01	20%	21 Jun →
nuke	13–8	-0.05	22%	21 Jun →
anubis	10–13	-0.01	8%	19 Jun →
inferno	16–13	0.04	14%	19 Jun →
ancient	13–6	0.00	14%	19 Jun →
mirage	11–13	0.02	7%	18 Jun →
dust2	13–8	-0.03	20%	18 Jun →
ancient	8–13	0.03	15%	16 Jun →
inferno	11–13	-0.00	14%	16 Jun →
mirage	13–7	0.03	7%	16 Jun →
nuke	13–11	-0.03	13%	16 Jun →
anubis	13–16	-0.04	13%	15 Jun →
overpass	13–7	-0.06	13%	15 Jun →
overpass	13–4	-0.05	6%	12 Jun →
nuke	14–16	-0.02	8%	12 Jun →
dust2	11–13	-0.03	17%	12 Jun →
ancient	13–6	-0.02	11%	10 Jun →
dust2	10–13	0.00	15%	9 Jun →
dust2	5–13	-0.03	13%	15 Sept →
overpass	10–13	0.02	16%	15 Sept →
nuke	13–8	0.02	15%	15 Sept →